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Psychometric properties of a 21st century digital skills scale
dc.creator | Kadijević, Đorđe | |
dc.creator | Gutvajn, Nikoleta | |
dc.creator | Ljubojević, Danijela | |
dc.date.accessioned | 2023-03-07T09:45:30Z | |
dc.date.available | 2023-03-07T09:45:30Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | http://ipir.ipisr.org.rs/handle/123456789/913 | |
dc.description.abstract | To prepare students to cope successfully with increasingly complex life and work environments based upon the extensive application of information-communication technology (ICT), today’s education should focus on cultivating 21st century digital skills. To assess the extent to which these ICT-based skills have been attained, an appropriate scale with good psychometric properties needs to be applied. By using a sample of 667 teachers from about 200 secondary schools across Serbia, this study examined the psychometric properties of a 21st century digital skills scale. These properties dealt with representativity, reliability, homogeneity, and validity. The examination showed that this scale was of a good quality for each of these properties. Suggestions for further research are included. | sr |
dc.language.iso | en | sr |
dc.publisher | Belgrade : Metropolitan University | sr |
dc.relation | info:eu-repo/grantAgreement/MESTD/inst-2020/200018/RS// | sr |
dc.rights | openAccess | sr |
dc.source | eLearning | sr |
dc.subject | digital skills | sr |
dc.subject | online teaching | sr |
dc.subject | psychometric properties | sr |
dc.subject | scale | sr |
dc.subject | secondary school teachers | sr |
dc.title | Psychometric properties of a 21st century digital skills scale | sr |
dc.type | conferenceObject | sr |
dc.rights.license | ARR | sr |
dc.citation.epage | 88 | |
dc.citation.spage | 83 | |
dc.description.other | 13th International Conference on eLearning (eLearning-2022), 29 - 30 September 2022, Belgrade, Serbia | sr |
dc.identifier.fulltext | http://ipir.ipisr.org.rs/bitstream/id/2853/Psychometric_Properties_of_a_21st_Century_Digital_Skills_scale_2022.pdf | |
dc.identifier.rcub | https://hdl.handle.net/21.15107/rcub_ipir_913 | |
dc.type.version | publishedVersion | sr |